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All Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal TEKNOKES Indonesian Journal of electronics, electromedical engineering, and medical informatics
Andjar Pudji
Departement Of Electromedical Engineering Polytechnic Ministry Of Health Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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Journal : Jurnal TEKNOKES

 1 
Electrocardiograph Simulator Berbasis Mikrokontroler I Dewa Gede Budi Whinangun; Andjar Pudji; M. Ridha Makruf; Bedjo Utomo; Sari Luthfiyah
Jurnal Teknokes Vol 12 No 1 (2019): April
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (895.508 KB)

Abstract

Electrocardiograph (ECG) menjadi salah satu ilmu diagnostik yang sering dipelajari dalam mendiagnosis dan untuk terapi penyakit jantung. Mengingat pentingnya alat ECG recorder, maka diperlukan pengecekan fungsi alat ECG recorder yaitu dengan cara melakukan prosedur kalibrasi alat menggunakan Phantom ECG. Tujuan dari penelitian ini adalah membuat ECG Simulator untuk alat ECG 12 channel yang meliputi lead I, lead II, lead III, aVR, aVF, aVL, V1, V2, V3, V4, V5, dan V6 dan melengkapinya dengan selektor pemilihan sensitivitas serta menggunakan. Metode pembentukan sinyal jantung menggunakan DAC tipe MCP 4921 dengan mikrokontroler Atmega2560 dan untuk tampilan pengaturanya menggunakan LCD Karakter 2x16. Berdasarkan hasil pengukuran didapat nilai tingkat kesalahan sebesar 0.187% sensitivitas 0.5mV dan 0.327% sensitivitas 1.0mV pada setting BPM 30, didapat nilai tingkat kesalahan sebesar 1.173% sensitivitas 0.5mV dan 1.060% sensitivitas 1.0mV pada setting BPM 60, didapat nilai tingkat kesalahan sebesar 0.797% sensitivitas 0.5mV dan 0.739% sensitivita 1.0mV pada setting BPM 120, didapat nilai tingkat kesalahan sebesar 0.269% sensitivitas 0.5mV dan 0.381% sensitivitas 1.0mV pada setting BPM 180 dan 0.010% sensitivitas 0.5mV dan 0.616% sensitivitas 1.0mV pada setting BPM 240. Modul ECG Simulator dilengkapi dengan fitur charge baterai dan biaya pembuatan yang lebih murah dibandingkan dengan alat pabrikan.
ECG Simulator Based on Microcontroller Equipped with Arrhythmia Signal M. Ridha Mak'ruf; Andjar Pudji; Bedjo Utomo; I Dewa Gede Hari Wisana; Torib Hamzah; Lamidi Lamidi; Denis Kurniar Wicaksono; Sedigheh Ashgari Baighout
Jurnal Teknokes Vol 15 No 2 (2022): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jteknokes.v15i2.244

Abstract

Electrocardiograph (ECG) is one of the diagnostic sciences that is often studied in modern medicine, used to detect damage to the components of the heart or disorders of the heart rhythm called arrhythmias. The purpose of this research is to develop an Electrocardiograph simulator that is equipped with arrhythmia. The main design consists of an Arduino Mega 2560 microcontroller, MCP4921 DAC (Digital to Analog Converter) circuit, a network resistor, and a sensitivity selection circuit. The MCP4921 type DAC converts the digital signal data into analog data which will then be forwarded to the resistor network circuit as a signal formation for each lead. The basic signal image data used for the formation of normal Electrocardiograph and arrhythmias were taken from the Electrocardiograph recorder using Phantom Electrocardiograph. Based on the readings on the Beat Per Minute setting of the module to the Beat Per Minute printout on the Electrocardiograph recorder, the error rate value for the Normal Sine Rhythm parameter is 0.790% for Beat Per Minute 30, 0.383% for Beat Per Minute 60, 0.535% for Beat Per Minute 120, 0.515% for Beat Per Minute 180 and 0.593% for Beat Per Minute 240. The error rate for the Arrhythmia parameter is 2.076% for ventricular tachycardia Beat Per Minute 160 and 0.494% for Supraventricular Tachycardia Beat Per Minute 200. The design of the Electrocardiograph simulator can simulate the signals of the human body and it can be used as a medium in the learning process in the world of health
The Effect of Lost Data on the IoT Platform on the Formation of Fetal Heart Rate Graphs for Remote Diagnostic Purposes Boy Pribowo; Andjar Pudji; Muhammad Ridha Mak’ruf; Vugar Abdullayev
Jurnal Teknokes Vol 15 No 4 (2022): December
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i4.489

Abstract

FHR is the fetal heart rate from bpm recording detected by doppler, FHR monitoring is very important to monitor fetal health to avoid fetal distress or fetal death, FHR provides more in-depth information about how the baby is doing compared to traditional monitoring of the baby. IoT media is a medium for monitoring remote sensor values ​​using internet connections, but there are several obstacles, namely there are doubts about the data displayed by IoT media, namely the risk of missing or unsent data, this will be very dangerous if the data that is should be monitored by doctors as a reference for medical diagnosis and treatment is lost or not displayed on the IoT, because if there is missing data it will cause inaccurate diagnosis or health treatment decisions by doctors. The aim of this study to analyze the effect of lost data on the formation of the Fetal Heart Rate graph on the IoT platform as a medium for remote diagnosis. In addition, FHR data can be saved for further diagnosis by a doctor if needed. This study uses an ESP32 microcontroller which will also be used to send data to IoT (Thinger.io). The independent variable used in this study is FHR data before it is uploaded to the IoT, and the dependent variable is FHR data when it is uploaded to the IoT. The greatest data loss is at the farthest distance of 30 meters with a value of 62.47%. Based on the research that has been done, this study has the advantage that the results obtained from Doppler are close to the BPM value in humans. And also this research has developments that can be done in the future such as adding storage to the website that is used for monitoring, and placing the right position on Doppler so that the results are more stable.
Monitoring the Occurrence of Alarms in High Flow Nasal Cannula (HNFC) Using IoT-Based Thinger.io Platform for COVID-19 Isolation Room Sapty Taurisita Fauziah; Muhammad Ridha Mak'ruf; Andjar Pudji; Levana Forra Wakidi; Faraz Masood
Jurnal Teknokes Vol 16 No 1 (2023): March
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v15i4.496

Abstract

Covid-19 has become a virus that has become a world pandemic and this virus has caused mass deaths because medical personnel have difficulty treating patients when oxygen levels in the blood have fallen to critical levels. HFNC (High Flow Nasal Cannula) is a method of administering additional oxygen to patients with acute respiratory failure. The use of HFNC in recent years has been highly recommended as a solution to provide supplemental oxygen to patients. Administration of HFNC to COVID-19 patients begins at a flow range of 30-60 LPM.Unfortunately, HFNC, which used to exist, can only be monitored manually, resulting in the transmission of HFNC-produced aerosols between patients and staff. So this study aims to analyze errors in HFNC that cause a decrease in flow to HFNC using a flow sensor as a sensor to detect leaks or other flow errors from the HFNC output hose and monitor if there is a blockage through IoT in the form of notifications.This research method uses the Pre-experimental with the After Only Design type. In this design, the researcher only used one group of subjects and only looked at the results without measuring and knowing the initial conditions, but there was already a comparison group. The independent variable in this study was the HFNC error condition. While the dependent variable in this study is the data flow read by the sensor, where IoT notifications and device status show error leaks. The sensors used in this research are MPX5700GP pressure sensors and SEN0343 Differential Pressure sensors as flow sensors. The benefit of this research is that in addition to reducing the burden on medical staff in handling Covid-19 patients, it can also minimize transmission between staff and patients caused by high aerosol production by this HFNC device, this is because HFNC device alarm monitoring can be monitored in the nurse's room via internet technology. In conclusion, to obtain maximum benefits from this research, it is necessary to select a sensor that truly has a high enough resistance to humidity produced by this HFNC humidifier's water vapor.
Monitoring the Occurrence of Alarms in IoT-Based HFNC With Analysis of Signal Increase Before Blockages Error Occurs (Pressure Parameters) Dwi Widyaningtyas; Andjar Pudji; Muhammad Ridha Mak'ruf
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.456

Abstract

The workload of medical personnel in handling COVID-19 is quite high due to limited personnel so that medical personnel who are resting are assigned the task of always being ready to carry out clinical monitoring of the use of HFNC. HFNC (High flow Nasal Cannula) is a method of giving supplemental oxygen to patients experiencing acute respiratory failure. The use of HFNC in recent years is highly recommended as a solution to provide additional oxygen to patients. The administration of HFNC to COVID-19 patients begins in the flow range of 30-50 LPM with an oxygen concentration of 92%. This study aims to analyze the error in HFNC which causes a decrease in the flow of HFNC. This study used data collection 10 times by modifying the HFNC output interval. The independent variable in this study is the HFNC error condition. While the dependent variable in this study is the pressure data read by the pressure sensor. In this study using a temperature setting of 34oC with a flow setting of 30-60 LPM. At the flow setting of 30 LPM, the average pressure value before error is 0, in process 2 and after error 0, where the IoT notification and the condition of the tool show a Blockage error. At the flow setting of 30 LPM, the average pressure value before error is 0, in process 1 and after error 0, where the IoT notification and the condition of the tool show a leaking error. In this study, the average error in the conditions of Blokage 3.8 and Leaking 1.5 The shortcomings in this study are can be a pressure sensor which has more sensitive results and also a pressure sensor that has a medical grade standard.
Analysis Of Early Warning System In Cold Room Vaccine Storage With Iot System Aprilina Gayuh Arniningtyas; Andjar Pudji; Endro Yulianto; Latafat Mikayilzade Ali
Jurnal Teknokes Vol 16 No 2 (2023): June
Publisher : Jurusan Teknik Elektromedik, POLTEKKES KEMENKES Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/teknokes.v16i2.487

Abstract

Cold room as a cold room for vaccine storage is an environment with a controlled temperature used to maintain and distribute vaccines in optimal conditions. To maintain the vaccine, it is necessary to pay attention to routine temperature monitoring, temperature data management, and prevention of situations that endanger the vaccine. The results of this review are expected to be a reference for researchers and readers with the development of research using the DS B1820 temperature sensor which will analyze the results of the data logger output and linearity at sensitive locations Cold Room with LCD output and equipped with an IoT system web display on a PC for monitoring and alarm. and notification via telegram when there is a change in temperature approaching and outside the range of 2 - 8 ° C so that this can make it easier for officers to monitor the temperature and quality of the vaccine. In the results of the study, temperature graphs and temperature data can be displayed which are recorded in minutes. Temperature measurement with standard tools produces the largest difference of 0.83. The lowest temperature was 2.06℃ and the highest temperature was 8.31℃ as well as telegram notification of early warning (2.58℃), evacuation vaccine (2.31℃), and exposed vaccine (8.6℃).
Co-Authors Ahmad Fanani Ahmad Zaky Ma'arif Ahniar, Nur Hasanah Alfina Nadhirotussolikah Alievya Brillianty Anugrah Kusuma Anita Miftahul Maghfiroh Aprilina Gayuh Arniningtyas Arga Wihantara Bambang Guruh Irianto Boy Pribowo Denis Kurniar Wicaksono Dwi Herry Andayani Dwi Widyaningtyas Edo Rafsanzani Endro Yulianto Erwin L. Rimban Faraz Masood Farid Amrinsani Farid Amrinsani Gede Aditya Mahendra Oka I Dewa Gede Budi Whinangun I Dewa Gede Hari Wisana I Dewa Gede Hari Wisana I Dewa Gede Hariwisana Ichwan Syahrul Bahtiar Indrato, Tri Bowo Khongdet Phasinam Lamidi, Lamidi Latafat Mikayilzade Ali Levana Forra Wakidi Liliek Soetjiatie Lusiana Lusiana Luthfiyah, Sari M. Ridha Mak'ruf M. Ridha Makruf Muhammad Fajar Wahyudi Muhammad Nezar Abdullah Mufarid Muhammad Ridha Mak'ruf Muhammad Ridha Mak'ruf Muhammad Ridha Mak'ruf Muhammad Ridha Makruf Muhammad Ridha Mak’ruf Muhammad Rois Amin Novella Lasdrei Anna Leediman Nuntachai Thongpance Priyambada Cahya Nugraha Sapty Taurisita Fauziah Sari Luthfiyah Satheeshkumar Palanisamy Sedigheh Ashgari Baighout Sergey A. Bogavev Shengjie Yan Shubhrojit Misra Singgih Yudha Setiawan Singgih Yudha Setiawan Torib Hamzah Utomo, Bedjo Vanda Catur Kirana Vijay Anant Athavale Vugar Abdullayev Yenda Mita Barus Yunik Pujiastuti